Indoor Camera Positioning Datasets

Original project at: https://sourceforge.net/projects/indoor-camera-positioning/.

Artificial Datasets
These datasets are found in the 'Artificial_Datasets' folder and are created using Blender. They include ground truth data, images, and camera parameters, providing a controlled environment to test and validate our pose estimation algorithms. Both AprilTags and Aruco markers are used to enhance variety and visibility. The marker schemas can be easily modified in the Blender source files. Includes the Blender sources.

Real Datasets
Datasets in the 'Real_Datasets' folder are collected from real-world environments and are essential for proving the real-world applicability of our approach. Like the artificial datasets, they include ground truth data, images, and camera parameters.